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Volumn 382, Issue , 2009, Pages

Non-linear matrix factorization with gaussian processes

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE METHODS; DATA SETS; GAUSSIAN PROCESSES; LATENT VARIABLE MODELS; MATRIX FACTORIZATIONS; NON-LINEAR; STOCHASTIC GRADIENT DESCENT;

EID: 70049108156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1553374.1553452     Document Type: Conference Paper
Times cited : (16)

References (17)
  • 1
    • 57349146373 scopus 로고    scopus 로고
    • Lessons from the Netix prize challenge
    • Bell, R., & Koren, Y. (2007). Lessons from the Netix prize challenge. SIGKDD Explorations 9, 75-79.
    • (2007) SIGKDD Explorations , vol.9 , pp. 75-79
    • Bell, R.1    Koren, Y.2
  • 2
    • 70049091005 scopus 로고    scopus 로고
    • solution to the netix prize. Available from
    • Bell, R. M., Koren, Y., & Volinsky, C. (2008). The BellKor 2008 solution to the netix prize. Available from http://www.research.att.com/ ~volinsky/netflix/.
    • (2008) The BellKor 2008
    • Bell, R.M.1    Koren, Y.2    Volinsky, C.3
  • 5
    • 33749236093 scopus 로고    scopus 로고
    • Collaborative prediction using ensembles of maximum margin matrix factorization
    • Omnipress
    • DeCoste, D. (2006). Collaborative prediction using ensembles of maximum margin matrix factorization. Proceedings of the International Conference in Machine Learning (pp. 249-256). Omnipress.
    • (2006) Proceedings of the International Conference in Machine Learning , pp. 249-256
    • DeCoste, D.1
  • 7
    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with Gaussian process latent variable models
    • Lawrence, N. D. (2005). Probabilistic non-linear principal component analysis with Gaussian process latent variable models. Journal of Machine Learning Research, 6, 1783-1816.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1783-1816
    • Lawrence, N.D.1
  • 9
    • 84898970398 scopus 로고    scopus 로고
    • Modeling user rating profiles for collaborative filtering
    • Cambridge, MA: MIT Press
    • Marlin, B. (2004b). Modeling user rating profiles for collaborative filtering. Advances in Neural Information Processing Systems (pp. 627-634). Cambridge, MA: MIT Press.
    • (2004) Advances in Neural Information Processing Systems , pp. 627-634
    • Marlin, B.1
  • 10
    • 84899022480 scopus 로고    scopus 로고
    • Automatic choice of dimensionality for PCA
    • Cambridge, MA: MIT Press
    • Minka, T. P. (2001). Automatic choice of dimensionality for PCA. Advances in Neural Information Processing Systems (pp. 598-604). Cambridge, MA: MIT Press.
    • (2001) Advances in Neural Information Processing Systems , pp. 598-604
    • Minka, T.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.